Explore the evidence.
Understand the reach.

Artificial Intelligence (AI) integration has become increasingly prevalent in various industries, transforming business processes and creating new opportunities. As AI continues to shape the future of work, organisations such as Higher Education Institutions (HEIs) must scrutinize their readiness to develop a workforce competent in AI. AI competencies are fundamental to successfully enacting and integrating these technologies. As a result, several organisations have invested in workforce readiness, albeit these efforts are affected by several actors and determinants. Consequently, organisations must examine the workforce readiness for AI integration as a technology of the future. This paper aims to explore the integration of AI in organisations such as HEIs to ascertain workforce readiness. Addressing three pivotal research questions, it delves into the extent to which the workforce in HEIs is developed and competent in AI, the contributing factors shaping the integration of AI into HEIs’ workforce, and the overall readiness of HEIs in fostering workforce development within the realm of AI. Employing a systematic content analysis review, the study provides pragmatic findings, serving as a reference point to elevate workforce readiness and pinpoint critical determinants. The study identified factors contributing to AI competency development that serve as valuable insights for other institutions aiming to design and implement effective workforce development programs in AI. Also, the findings provide significant implications for institutions seeking to enhance their workforce's competency in AI.   Keywords: Artificial Intelligence, Higher Education Institutions, HEIs, Workforce, Readiness.

Artificial Intelligence (AI) is transforming higher education, offering both pedagogical advantages and potential academic risks for teaching and learning. This systematic review consolidates existing research to examine whether AI enhances or hinders pedagogical practices in universities. Results show that AI boosts efficiency, supports personalization, and promotes inclusivity through adaptive learning systems, intelligent tutoring platforms, and automated assessment tools. The findings, however, also indicate risks such as academic integrity issues, algorithmic bias, unequal access, and the potential deskilling of educators. Furthermore, policy gaps exacerbate these risks, subjecting institutions to ethical dilemmas and inconsistent practices. The review concludes that responsible integration, supported by strong governance frameworks, drives the impact of AI in academia. Recommendations for policymakers include introducing clear institutional policies for the use of AI in higher education, promoting equitable access to digital infrastructure, and mandating transparency and accountability to ensure trust and fairness in high-stakes decision-making. For higher education institutions, establishing comprehensive guidelines for AI use, investing in faculty training, and redesigning assessments can help ensure inclusivity, preserving creativity, and emphasizing originality and problem-solving skills less easily replicated by AI.

Emerging Artificial Intelligence (AI) technologies are transforming the global education sector, with Artificial Intelligence playing a crucial role in enhancing teaching, learning, and administrative processes. In South Africa, AI-driven innovations have the potential to bridge educational gaps, improve student engagement, and personalize learning experiences. Adaptive learning platforms, automated grading systems, and intelligent tutoring applications are revolutionizing education by making it more efficient and accessible. However, despite these advancements, the adoption of AI in South African education faces significant challenges. Key challenges include data privacy concerns, ethical considerations, and a shortage of AI-skilled educators. These challenges create an uneven distribution of AI’s benefits, limiting its potential to improve learning outcomes on a national scale. Highlighting the need to explore the opportunities and barriers associated with the adoption of emerging AI technologies in South African education. Therefore, this study adopts a comprehensive literature review aiming to explore emerging AI technologies in the educational context in south Africa. To achieve this, the research will address the following questions: What impact have new technologies had on South Africa’s development? and in what ways can emerging technologies supporting South Africa's development initiatives. The findings indicate that AI tools have shown success in improving learning outcomes, increasing student engagement, and streamlining administrative tasks in well-resourced schools. However, their impact is uneven due to infrastructural and systemic challenges; also, the widespread adoption is hindered by a persistent digital divide, limited internet access, and a shortage of AI-trained educators, especially in rural areas. Additionally, ethical concerns such as data privacy, algorithmic bias, and the absence of clear regulatory frameworks pose significant barriers.

Sophisticated AI applications like ChatGPT and Grammarly offer distinct advantages for enhancing writing proficiency. They assist users in conceptualising ideas, organising material, and refining writing style, whereas Grammarly focuses on improving grammar, punctuation, and clarity with context-aware recommendations. This is particularly relevant for students who are non-native English speakers, as it supports them and helps bridge educational disparities. While these instruments markedly enhance scholarly writing abilities, their efficacy in tertiary education remains a subject of debate. Recent occurrences of academic dishonesty associated with the improper use of generative AI technologies have negatively impacted higher education. This study assesses the impact of artificial intelligence on enhancing academic writing abilities in students who are not native English speakers. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, this study consolidates evidence from scholarly literature, policy reports, and institutional case analyses. Keywords, synonyms, and subject headings were employed to query three electronic databases from 2021 to 2025. The electronic repositories included Scopus, Emerald Insight, Google Scholar, and ProQuest. The evaluation of the publications was conducted through titles and abstracts, followed by an assessment of the full-text papers against the qualifying criteria. The results were derived and amalgamated into a narrative synthesis from selected publications. The results underscored AI's ability to customise and improve the educational experience for learners.

Sophisticated AI applications like ChatGPT and Grammarly offer distinct advantages for enhancing writing proficiency. They assist users in conceptualising ideas, organising material, and refining writing style, whereas Grammarly focuses on improving grammar, punctuation, and clarity with context-aware recommendations. This is particularly relevant for students who are non-native English speakers, as it supports them and helps bridge educational disparities. While these instruments markedly enhance scholarly writing abilities, their efficacy in tertiary education remains a subject of debate. Recent occurrences of academic dishonesty associated with the improper use of generative AI technologies have negatively impacted higher education. This study assesses the impact of artificial intelligence on enhancing academic writing abilities in students who are not native English speakers. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria, this study consolidates evidence from scholarly literature, policy reports, and institutional case analyses. Keywords, synonyms, and subject headings were employed to query three electronic databases from 2021 to 2025. The electronic repositories included Scopus, Emerald Insight, Google Scholar, and ProQuest. The evaluation of the publications was conducted through titles and abstracts, followed by an assessment of the full-text papers against the qualifying criteria. The results were derived and amalgamated into a narrative synthesis from selected publications. The results underscored AI's ability to customise and improve the educational experience for learners.

Artificial Intelligence (AI) is transforming higher education, offering both pedagogical advantages and potential academic risks for teaching and learning. This systematic review consolidates existing research to examine whether AI enhances or hinders pedagogical practices in universities. Results show that AI boosts efficiency, supports personalization, and promotes inclusivity through adaptive learning systems, intelligent tutoring platforms, and automated assessment tools. The findings, however, also indicate risks such as academic integrity issues, algorithmic bias, unequal access, and the potential deskilling of educators. Furthermore, policy gaps exacerbate these risks, subjecting institutions to ethical dilemmas and inconsistent practices. The review concludes that responsible integration, supported by strong governance frameworks, drives the impact of AI in academia. Recommendations for policymakers include introducing clear institutional policies for the use of AI in higher education, promoting equitable access to digital infrastructure, and mandating transparency and accountability to ensure trust and fairness in high-stakes decision-making. For higher education institutions, establishing comprehensive guidelines for AI use, investing in faculty training, and redesigning assessments can help ensure inclusivity, preserving creativity, and emphasizing originality and problem-solving skills less easily replicated by AI.

Emerging Artificial Intelligence (AI) technologies are transforming the global education sector, with Artificial Intelligence playing a crucial role in enhancing teaching, learning, and administrative processes. In South Africa, AI-driven innovations have the potential to bridge educational gaps, improve student engagement, and personalize learning experiences. Adaptive learning platforms, automated grading systems, and intelligent tutoring applications are revolutionizing education by making it more efficient and accessible. However, despite these advancements, the adoption of AI in South African education faces significant challenges. Key challenges include data privacy concerns, ethical considerations, and a shortage of AI-skilled educators. These challenges create an uneven distribution of AI’s benefits, limiting its potential to improve learning outcomes on a national scale. Highlighting the need to explore the opportunities and barriers associated with the adoption of emerging AI technologies in South African education. Therefore, this study adopts a comprehensive literature review aiming to explore emerging AI technologies in the educational context in south Africa. To achieve this, the research will address the following questions: What impact have new technologies had on South Africa’s development? and in what ways can emerging technologies supporting South Africa's development initiatives. The findings indicate that AI tools have shown success in improving learning outcomes, increasing student engagement, and streamlining administrative tasks in well-resourced schools. However, their impact is uneven due to infrastructural and systemic challenges; also, the widespread adoption is hindered by a persistent digital divide, limited internet access, and a shortage of AI-trained educators, especially in rural areas. Additionally, ethical concerns such as data privacy, algorithmic bias, and the absence of clear regulatory frameworks pose significant barriers.

Artificial Intelligence (AI) integration has become increasingly prevalent in various industries, transforming business processes and creating new opportunities. As AI continues to shape the future of work, organisations such as Higher Education Institutions (HEIs) must scrutinize their readiness to develop a workforce competent in AI. AI competencies are fundamental to successfully enacting and integrating these technologies. As a result, several organisations have invested in workforce readiness, albeit these efforts are affected by several actors and determinants. Consequently, organisations must examine the workforce readiness for AI integration as a technology of the future. This paper aims to explore the integration of AI in organisations such as HEIs to ascertain workforce readiness. Addressing three pivotal research questions, it delves into the extent to which the workforce in HEIs is developed and competent in AI, the contributing factors shaping the integration of AI into HEIs’ workforce, and the overall readiness of HEIs in fostering workforce development within the realm of AI. Employing a systematic content analysis review, the study provides pragmatic findings, serving as a reference point to elevate workforce readiness and pinpoint critical determinants. The study identified factors contributing to AI competency development that serve as valuable insights for other institutions aiming to design and implement effective workforce development programs in AI. Also, the findings provide significant implications for institutions seeking to enhance their workforce's competency in AI.   Keywords: Artificial Intelligence, Higher Education Institutions, HEIs, Workforce, Readiness.